class_docstr: Collects samples for one agent in one trajectory (episode).
  
  The agent may be part of a multi-agent environment. Samples are stored in
  lists including some possible automatic "shift" buffer at the beginning to
  be able to save memory when storing things like NEXT_OBS, PREV_REWARDS,
  etc.., which are specified using the trajectory view API.
docstr: Returns True if this collector has no data.
docstr_tok: ["Returns","True","if","this","collector","has","no","data","."]
code: def is_empty(self) -> bool:
      """Returns True if this collector has no data."""
      return not self.buffers or all(
          len(item) == 0 for item in self.buffers.values()
      )
  
imports: import copy
  import logging
  import math
  from typing import Any, Dict, List, Optional
  import numpy
  import tree
  from gymnasium.spaces import Space
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.policy.view_requirement import ViewRequirement
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.spaces.space_utils import flatten_to_single_ndarray, get_dummy_batch_for_space
  from ray.rllib.utils.typing import EpisodeID, EnvID, TensorType, ViewRequirementsDict
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 4 for calling the AgentCollector obj's underlying member method code with example usage: obj.is_empty() and returns: unknown